Python … wtf !!?

If you ever want to get serious about data science soon or later you’re going to have your hands on some Python code.

If you are like me – coming from the JVM world – you probably think “yeah, Python … should be cool!!”. Everybody is using it, the syntax looks concise, and the machine learning ecosystem is pretty  dense in python: theano, neon, scikit-learn, …

..So yeah let’s get started… and if you’ve never written any Python code before I’ll tell you it’s not going to be that fun. Continue reading “Python … wtf !!?”



“Data Scientist (n.): Person who is better at statistics than any software engineer and better at software engineering than any statistician.”

As you can see there are 2 worlds out there: the world of math and statistics and the world of software engineering.

Each of these worlds thinks he is better than the other (which is true in a sense) but the truth is that they also need each other to achieve good results.

One cannot harvest huge amount of data without a proper system and the other who knows how to build such systems doesn’t know how to extract valuable information from so much data.

Coming from a software engineering background I intend to publish some articles as I go along through this journey.